Reducing the energy consumption of an earth–air heat exchanger with a PID control system

Diaz-Mendez, Sosimo E.; Patiño-Carachure, C.; Herrera-Castillo, J.A.

doi:10.1016/j.enconman.2013.09.033

Cited by 26 publications

(8 citation statements)

References 18 publications

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“…Generally, the inputs of PID controller are the reference point and controller output. In [78], the PID controller takes input as the temperature difference between the surrounding air and the ground for cooling or heating the air to control the earth-air heat exchanger, leading to a reduction of energy consumption up to 87%. Besides, the PID controller has been successfully implemented in various sections in buildings such as light control [79] power tracking performance improvement [80] and vibration control [81] and energy consumption reduction [78].…”

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confidence: 99%

“…In [78], the PID controller takes input as the temperature difference between the surrounding air and the ground for cooling or heating the air to control the earth-air heat exchanger, leading to a reduction of energy consumption up to 87%. Besides, the PID controller has been successfully implemented in various sections in buildings such as light control [79] power tracking performance improvement [80] and vibration control [81] and energy consumption reduction [78]. Although P, PI, and PID are closed-loop/feedback control systems, their performance is not reasonable in noisy and non-linear processes due to the poor control performance, thus resulting in significant time delays [82] [83] [84].…”

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confidence: 99%

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Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

et al. 2021

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Buildings account for a significant amount of energy consumption leading to the issues of global emissions and climate change. Thus, energy management in a building is increasingly explored due to its significant potential in reducing the overall electricity expenses for the consumers and mitigating carbon emissions. In line with that, the greater control and optimization of energy management integrated with renewable energy resources is required to improve building energy efficiency while satisfying indoor environment comfort. Even though actions are being taken to reduce the energy consumption in buildings with several optimization and controller techniques, yet some issues remain unsolved. Therefore, this work provides a comprehensive review of the conventional and intelligent control methods with emphasis on their classification, features, configuration, benefits, and drawbacks. This review critically investigates the different optimization objectives and constraints with respect to comfort management, energy consumption, and scheduling. Furthermore, the review outlines the different methodological approaches to optimization algorithms used in building energy management. The contributions of controller and optimization in building energy management with the relation of sustainable development goals (SDGs) are explained rigorously. Discussions on the key challenges of the existing methods are presented to identify the gaps for future research. The review delivers some effective future directions that would be beneficial to the researchers and industrialists to design an efficiently optimized controller for building energy management toward targeting SDGs.INDEX TERMS Building energy management, controller, optimization, scheduling, sustainable development goals I. INTRODUCTIONPresently, buildings take the lead in consuming a substantial amount of energy, indicating about 40% of global energy consumption, which is responsible to release one-third of greenhouse gas (GHG) emissions [1], [2]. Another report demonstrates that buildings hold 49% of the total energy worldwide in which 60% of the energy is consumed for heating and cooling purposes [3], [4]. The poor management and ineffective control approach of appliances used in the building may result in a significant loss of energy in a

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confidence: 99%

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confidence: 99%

Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

et al. 2021

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“…Shen et al (2014) and Beier (2014) have studied the cooling performance of heat exchangers using dynamic changes. Dynamic studies can also be used to develop control strategies for reducing the energy consumption (Diaz-Mendez et al, 2014;Ibrahim et al, 2014). The importance of developing heat exchange programming for reactors was presented by Fu and Xu (2013) and Henini et al (2013).…”

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confidence: 99%

Transient analysis of shell-and-tube heat exchangers using an educational software

Cartaxo

Silvino

Fernandes

2014

Education for Chemical Engineers

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“…On-off and proportional, integral and derivative (PID) control strategy has been widely used in industrial control process. In particular, PID control strategy has gained an extensive application in various thermal engineering systems, for instance, heat exchanger [1], refrigeration system [2] [3] and heating, ventilation and air-conditioning (HVAC) system [4] [5]. In these previous researches, controller based on PID control strategy has simple structure and effective control has been achieved.…”

Section: Introduction 1conventional Pid Controllermentioning

confidence: 99%

Development of an Enhanced Self-Tuning RBF-PID Controller for Achieving Higher Energy-Efficient Process Control

Wang¹,

Liang²,

Calautit³

et al. 2021

JBCPR

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Reducing the energy consumption of an earth–air heat exchanger with a PID control system

Cited by 26 publications

References 18 publications

Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

Transient analysis of shell-and-tube heat exchangers using an educational software

Development of an Enhanced Self-Tuning RBF-PID Controller for Achieving Higher Energy-Efficient Process Control

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